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1   /*
2    * Copyright (C) 2020 Alberto Irurueta Carro (alberto@irurueta.com)
3    *
4    * Licensed under the Apache License, Version 2.0 (the "License");
5    * you may not use this file except in compliance with the License.
6    * You may obtain a copy of the License at
7    *
8    *         http://www.apache.org/licenses/LICENSE-2.0
9    *
10   * Unless required by applicable law or agreed to in writing, software
11   * distributed under the License is distributed on an "AS IS" BASIS,
12   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13   * See the License for the specific language governing permissions and
14   * limitations under the License.
15   */
16  package com.irurueta.navigation.inertial.calibration.noise;
17  
18  import com.irurueta.navigation.inertial.calibration.AccelerationTriad;
19  import com.irurueta.navigation.inertial.calibration.AccelerometerNoiseRootPsdSource;
20  import com.irurueta.navigation.inertial.calibration.TimeIntervalEstimator;
21  import com.irurueta.units.Acceleration;
22  import com.irurueta.units.AccelerationUnit;
23  
24  /**
25   * Estimates accelerometer noise variances and PSD's (Power Spectral Densities)
26   * along with the accelerometer average values for a windowed amount of samples.
27   * This estimator must be used when the body where the accelerometer is attached
28   * remains static on the same position with zero velocity while capturing data.
29   * To compute PSD's, this estimator assumes that accelerometer samples are
30   * obtained at a constant provided rate equal to {@link #getTimeInterval()} seconds.
31   * If not available, accelerometer sampling rate average can be estimated using
32   * {@link TimeIntervalEstimator}.
33   * This estimator does NOT require the knowledge of current location and body
34   * orientation.
35   * Because body location and orientation is not known, estimated average values
36   * cannot be used to determine biases. Only norm of noise estimations can be
37   * (variance or standard deviation) safely used.
38   * Notice that if there are less than {@link #getWindowSize()} processed
39   * samples in the window, this estimator will assume that the remaining ones
40   * until the window is completed have zero values.
41   * This implementation of noise estimator will use the following units:
42   * - meters per squared second (m/s^2) for acceleration, average or standard deviation values.
43   * - (m^2/s^4) for acceleration variances.
44   * - (m^2 * s^-3) for accelerometer PSD (Power Spectral Density).
45   * - (m * s^-1.5) for accelerometer root PSD (Power Spectral Density).
46   */
47  public class WindowedAccelerationTriadNoiseEstimator extends
48          WindowedTriadNoiseEstimator<AccelerationUnit, Acceleration, AccelerationTriad,
49                  WindowedAccelerationTriadNoiseEstimator, WindowedAccelerationTriadNoiseEstimatorListener>
50          implements AccelerometerNoiseRootPsdSource {
51  
52      /**
53       * Constructor.
54       */
55      public WindowedAccelerationTriadNoiseEstimator() {
56          super();
57      }
58  
59      /**
60       * Constructor.
61       *
62       * @param listener listener to handle events raised by this estimator.
63       */
64      public WindowedAccelerationTriadNoiseEstimator(final WindowedAccelerationTriadNoiseEstimatorListener listener) {
65          super(listener);
66      }
67  
68      /**
69       * Creates a copy of a triad.
70       *
71       * @param input triad to be copied.
72       * @return copy of a triad.
73       */
74      @Override
75      protected AccelerationTriad copyTriad(final AccelerationTriad input) {
76          return new AccelerationTriad(input);
77      }
78  
79      /**
80       * Creates a triad with provided values and unit.
81       *
82       * @param valueX x coordinate value.
83       * @param valueY y coordinate value.
84       * @param valueZ z coordinate value.
85       * @param unit   unit.
86       * @return created triad.
87       */
88      @Override
89      protected AccelerationTriad createTriad(
90              final double valueX, final double valueY, final double valueZ, final AccelerationUnit unit) {
91          return new AccelerationTriad(unit, valueX, valueY, valueZ);
92      }
93  
94      /**
95       * Creates a triad with provided values.
96       *
97       * @param valueX x coordinate value.
98       * @param valueY y coordinate value.
99       * @param valueZ z coordinate value.
100      * @return created triad.
101      */
102     @Override
103     protected AccelerationTriad createTriad(
104             final Acceleration valueX, final Acceleration valueY, final Acceleration valueZ) {
105         return new AccelerationTriad(valueX, valueY, valueZ);
106     }
107 
108     /**
109      * Gets default unit for a measurement.
110      *
111      * @return default unit for a measurement.
112      */
113     @Override
114     protected AccelerationUnit getDefaultUnit() {
115         return AccelerationUnit.METERS_PER_SQUARED_SECOND;
116     }
117 
118     /**
119      * Creates a measurement with provided value and unit.
120      *
121      * @param value value to be set.
122      * @param unit  unit to be set.
123      * @return created measurement.
124      */
125     @Override
126     protected Acceleration createMeasurement(final double value, final AccelerationUnit unit) {
127         return new Acceleration(value, unit);
128     }
129 
130     /**
131      * Gets accelerometer base noise level root PSD (Power Spectral Density)
132      * expressed in (m * s^-1.5).
133      *
134      * @return accelerometer base noise level root PSD.
135      */
136     @Override
137     public double getAccelerometerBaseNoiseLevelRootPsd() {
138         return getNoiseRootPsdNorm();
139     }
140 }